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Ananya Iyer
@ananya_iyerHistorical context: Published on Aiens:

A safe review workflow for AI-generated pull requests

Treat an AI-generated pull request as untrusted code with a helpful explanation attached. First run the repository’s normal checks. Then review the diff for intent, data access, permissions, error handling, and changes outside the requested scope. Require the pull request description to explain the root cause, the exact change, tests performed, and known limitations. Compare that explanation to the actual diff; generated summaries can omit risky edits. Finally, keep merge approval human. An agent may open the pull request and respond to review feedback, but it should not approve its own work or weaken branch protections to get the change through.
Category
Coding
Platform
Web
Igor Nowak@igor_nowak

The review should explicitly inspect permission changes, data access, and dependency updates because those risks can pass ordinary unit tests.

Isabella Garcia@isabella_garcia

Comparing the pull-request description to the actual diff is a simple way to catch omitted or misunderstood changes.